Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Link to issue tracker in DESCRIPTION #1109

Merged
merged 1 commit into from
Jan 11, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions StanHeaders/DESCRIPTION
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ Authors@R: c(person("Ben",family="Goodrich", email="benjamin.goodrich@columbia.e
person("The Regents of the", "University of California", role = "cph", comment = "CVODES"),
person("Southern Methodist", "University", role = "cph", comment = "CVODES"))
URL: https://mc-stan.org/
BugReports: https://github.com/stan-dev/rstan/issues
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
Imports: RcppParallel (>= 5.1.4)
Suggests: Rcpp, BH (>= 1.75.0-0), knitr (>= 1.36), rmarkdown, Matrix, methods, rstan, withr
Expand Down
Loading